Dennis & Tom’s 2024 Tech Resolutions

Episode Notes

Transcript

Speaker 1:

Web 2.0 innovation collaboration software, metadata got the world turning as fast as it can hear how technology can help legally speaking with two of the top legal technology experts, authors and lawyers, Dennis, Kennedy, and Tom Mighell. Welcome to the Kennedy Mile report here on the Legal Talk Network

Dennis Kennedy:

And welcome to episode 356 of the Kennedy Mile Report. I’m Dennis Kennedy in Ann Arbor, the home of the 2024 NCAA championship football team. Tom was your University of Texas Longhorns in that tournament by any chance

Tom Mighell:

And I’m Tom Mighell in Dallas, and that’s all we’re going to say about that.

Dennis Kennedy:

In our last episode, we had our friend Debbie Foster, join us for look back at Legal Technology in 2023. It’s an annual tradition with us. It is a great show, highly recommended. Now we look to 2024 from our personal perspectives. Now we aren’t big believers of predictions on the show, especially after all the unpredictability of wealth the last several years, but we do have instead an annual tradition of sharing our own personal technology New Year’s resolutions each year, and it’s that time of year. Again. Tom, what’s all on our agenda for this episode?

Tom Mighell:

Well Dennis in this edition of the Kennedy MA report, we will indeed be sharing our 2024 technology resolutions. In our second segment, we’re going to be launching a new approach for our B segment that might surprise you or not. And as usual, we’ll finish up with our parting shots, that one tip website or observation that you can start to use the second that this podcast is over. But first up, our New Year’s technology resolutions, a long time tradition on this podcast. Our premise, as Dennis mentioned, is that anyone can and will make predictions. You probably saw a lot of them at the end of the year, lots of predictions, and then they hope that we forget how successful those predictions were. Now granted, to be fair, Dennis, I think that a lot of them, when they do their prediction show next year, they will talk about whether they were successful in the past year and they kind of have to own up to it.

What we don’t see are a lot of people publicly sharing what they plan to do, what their resolutions are around technology are for the coming year. We, on the other hand, have a proud tradition of boldly sharing our annual personal technology resolutions and looking back at them to see how well we did or did not do. I like the idea of resolutions because they give you a place to get started as the new year starts, but if you don’t happen to follow through on ’em, it’s also not the end of the world. As we will discuss shortly from my perspective, Dennis, I guess let’s start out by talking about 2023. What did you resolve to in our 2023 resolution show and how well did it turn out for you?

Dennis Kennedy:

As an aside to start out, Tom, I can confidently say that well prompted Chad GBT four has definitely reached a point where it can do a better job than most of us humans can do, both with predictions and resolutions. But here are my last,

Tom Mighell:

Does that mean that these resolutions for this year are generated by chat GPT?

Dennis Kennedy:

They might be. You never know. You never know. So last year’s three for me, second Brain, our ongoing second brain project, the next generation of it, and to up my notion skills, which is where my second brain project resides, practical applications of generative AI and post Twitter approaches, intentional news and social media consumption. Now, I definitely was not perfect in 2023, but I give myself a b plus on my second brain project, a total a plus on practical AI projects and a gentleman’s C plus on post Twitter approaches. How about you, Tom?

Tom Mighell:

So I’m going to quibble a little bit with your grading system here, Dennis, because considering the fact that you announced your departure from Twitter on January 1st of this year, I think that c plus is being a little generous about it. I mean, you may have made the decision in 23, but you didn’t actually make the public announcement.

Dennis Kennedy:

I’m known as a high grader and as a professor I’m really up on how to assign these grads

Tom Mighell:

Well aware of your curve. Yes, I understand. Alright, so my three, I’m going to be much, much tougher on myself than Dennis was because I again have proven that I struggle with resolution. So my three resolutions from last year were again, to make improvements on my second brain. I will give myself probably a C minus on that. I worked more with Notion, I got it into better shape. I planned an entire vacation using Notion and it was a very big success, but I didn’t get anywhere near what I needed to do with developing the second part, excuse me, the second brain part of Notion. So not happy with the outcome of that. My second was to learn more about the metaverse and I will give myself a split grade on that. I will give myself an F for doing nothing, but I will also give me myself an A plus for dodging a bullet because does anybody know what the metaverse is anymore?

I mean the past year the Metaverse basically went hidden and unknown and nobody’s talking about it anymore. So I’m not unhappy that I failed at this particular resolution. And then finally my third resolution was to restart the newsletter post to the blog. And again, never the time to do this, started to find the time to write some things, but it just never worked out. It was a very work intensive year for me. I’m sad about that. One thing that I do miss being able to do is write a lot and I hope to return to that, but this past year I would say was not a great year for my resolutions.

Dennis Kennedy:

I’m a little speechless. I don’t think I’ve heard or seen the term metaverse in months.

Tom Mighell:

I know it’s the first, I mentioned it for the first time. I agree.

Dennis Kennedy:

So here’s what I learned from the resolutions and the failing is actually important because I keep trying to develop an experimental mindset using the scientific method, if you will, and things change. And so I like to experiment, I like to adjust, I like to pivot. And sort of my big insight at the end of the year, and I’m surprised it took me so long, is I looked at what I did over the year, including these resolutions as a portfolio and tried to, I think it’s better to look at how well the whole portfolio did rather than to grade each piece of it. So I don’t know. Tom, I suspect your resolutions did evolve over the air. I mean it sounds like they

Tom Mighell:

Did. I would say still, no. I mean I think that my use of my second brain, I’ve thought in different ways about it. I’ve actually thought of new ways that I want to use it. I have tried to decide whether notion really is the best place for the second brain at this point. I am intrigued with the new AI services that it’s bringing kind of the q and a function where you can begin to query your notes. That is really very intriguing to me because to me that’s where I see a good use of the second brain going similar to what I suppose Notebook LLM is doing with Google Copilot is doing with Microsoft. So I’m intrigued on that. I would say I made progress, but I was not happy enough with my progress on any of these areas to really call it a success.

Dennis Kennedy:

Yeah, the notion AI stuff is really cool. If people want to find something to experiment with ai, that’s a good place to start. So I’ve always used a three-part approach on technology resolution. So first of all, is there a specific technology pain point that I’d like to alleviate or remove? Second, is there a new technology, a new skill, or a more advanced use of a technology that I’d like to learn? And third, is there something I can do to advance my career, accomplish more with technology, improve processes or enhance customer service? I’ll call it my case. That always seems to be enhancing student service. Tom, do you use a theme?

Tom Mighell:

So in the past I’ve used themes in past versions of this podcast and past episodes of our resolution podcast. I have adopted your theme as well of looking at those things. I think those are good ways to approach it. Given my lack of success recently, I’m going to abandon all attempt at a theme this year other than to say I’m choosing goals that are important to me in the moment. They’re things that I want to accomplish from a specific standpoint. You will notice the one theme that I chose as we get into it, I won’t give it away until we start talking about it, but I’ve chosen goals that meet that criteria that we talk about every year is, is that goals need to meet the smart goal setting criteria and smart being the acronym for a goal must be specific. It must be measurable, it must be action oriented. It’s actually doing something, it must be realistic and it must be time-driven or time bound in some way. And so I think my goals generally meet those criteria, but they don’t follow kind of the same theme that you follow this year.

Dennis Kennedy:

Okay, so you want to go to our resolutions and

Tom Mighell:

Let’s do it

Dennis Kennedy:

And I can start us off. So my resolution number one is the metaverse. No, just kidding, Tom.

Tom Mighell:

So I’m intrigued.

Dennis Kennedy:

I’ve been thinking about intentionality this year and in some ways, this is my word for 2024, and the pain point for me that I’d like to alleviate or remove is this unintentional passive consumption of news and social media that comes at me in a feed I don’t curate, especially as we get into an election year. So I don’t want to do like a detox necessarily, but I want to be super intentional about what I do, go to higher quality news sources, more RSS, and then to get exactly the information that I want. And then I think the other piece that I want to do in connection with that is to say, what is the consumption of social media blocking me from doing? And so I see it’s things like vr, I want to do this vr, virtual reality travel, and there are some other things and just research, little research projects that I never get around to. And I think I want to convert the time that I’m just kind of scanning through, skimming through social media to be way more intentional.

Tom Mighell:

I totally agree with that. I don’t know how you could have been this long without having more directed news items. I’ve only both in my RSS feeds and in my Twitter, my method in Twitter or X, whatever it is now, has always been to, rather than read what my followers and people are doing or things like that, I’ve make a list that is only of the people that I want to get information from, generally technology related. Although I sometimes worry if I’m in an echo chamber, I wonder whether I’m in a bubble because I only get the things that I want, but I’m not unhappy about it. Alright, my first resolution, and you’ll start to see the theme as we talk about it, is about artificial intelligence. And given all the grief that I’ve given Dennis over the past few months on his obsession with artificial intelligence, I am aware of the irony and potential hypocrisy in my resolutions for this year.

But my first one is related to work and these are going to be intentionally vague. I can’t go into a lot of detail about we’re working on, but at my company, you all know that I work for an information governance consulting group and we’ve been taking a look at artificial intelligence from a governance perspective and understanding that artificial intelligence from a corporate perspective governing it and making it compliant in your organization has many parallels to how information is governed in the organization. And we are starting to take a look at what are some of the best practices that companies should be using to deal with AI to make sure that companies are able to do it and use it in a way that makes them productive, but are also in ways that are accurate and ethical and secure and respective of privacy rights and all sorts of things.

So it’s some interesting tight ropes that we need to walk, but we’re working on that. We’re also looking at ways that AI may be used to help in the legal research process. So a little bit different from the legal research that you’ve been seeing in the news with fake case citations. This is more targeted and directed. I’ll be able to talk more about it as the year goes along I hope. But I am looking forward to finding out how artificial intelligence and in information governance may play together. Alright, that’s our first resolution of peace. We’ve got more to talk about. But before we do that, we’re going to take a quick break for a word from our sponsors

Dennis Kennedy:

And we are back. Tom, first of all, I love this very targeted use of AI that you were talking about as opposed to let’s solve all of legal research. But what’s your second resolution and will I be able to guess the theme?

Tom Mighell:

Yes, theme is guess what? It’s artificial intelligence. And my second artificial intelligence one is also fairly specific. And this is something that I am only sharing with Dennis in the moment as we’re talking about it. But now that chat, GPT is allowing you to create your own chat, getting ready to release on the app, the ability to do things, I am going to one, create a chat bot for this podcast. I’m going to talk about uploading transcripts of the podcast and I’m going to work on teaching it to have any of you who are interested going to talk to us about the podcast. And Dennis and I have talked multiple times on this show about teaching chat GPT about our book, and I want to get more involved in that. I know that Dennis and I have talked about a potential host for doing that, but I feel like the technology has sort of passed that by and we now have more opportunities to do that on our end without relying on others. So that’s something that I’m going to be exploring a little bit more this year with hopefully some guidance from Dennis. Dennis, you’re number two.

Dennis Kennedy:

My number two is of course the Metaverse. No. So my number two is what I call my AI lab. And there is going to be overlap here. So this I call my AI lab, the place I’ve been doing all the experiments I’ve been doing primarily with Chad GT four over the last year, but also other tools as well. And the big thing I’ll be doing this year is using local open source, large language models on a dedicated machine to try some new things and some new approaches. And this is probably about as technological as I’ve dove into things in a few years. So I’m really kind of excited about this. But I’m also looking at, I was thinking Tom, when you were talking about the podcast and the book, I think you’re right that with sophisticated prompting and g PT four and the updates of the training that have happened, I think we could get pretty far just with prompting on doing a version especially of q and a, especially of our book. The podcast I think is a bigger project, but so I think that’s cool. And the local L LMS could be one way that we do the podcast transcripts.

Tom Mighell:

Alright, number three, and guess what? It involves artificial intelligence. This one probably if you’ve been listening to this past episodes of the podcast, you could have guessed this, but I plan to, if I kind of adopt Dennis’s method, the technology that I want to learn about most this year is using Microsoft 365 copilot. I want to take advantage of it. I’m hoping that it is available to the general public soon. I know that as of the time that we are recording this, you can get it on an iOS app. I believe there’s an Android app for it. I’m not sure, but to me that’s not terribly helpful. I want to point it against my content, my M 365 content as of this recording, it’s mostly being offered just to very large organizations. In fact, one of my clients, I happened to see a note that one of my clients was sending to a colleague that said, make sure that you turn on copilot transcription for this meeting. I want to get a transcript of everything. And I’m like, oh my gosh, I want to use that so bad. So I’m hoping that we are able to access it and use it. I want to learn about it. I want to see how it really interacts and what its capabilities and potential is for revolutionizing how we do work, how we do knowledge work and productivity and all that sort of stuff in the workplace.

Dennis Kennedy:

Yeah, I would say on those AI transcription tools, I think this is a fairly significant issue these days, but make sure the other people who are on the call are okay with that because sometimes people aren’t with that and it’s always good to ask that. So my resolution number three is not ai, it’s actually human intelligence or what I like to call hi. And so we did a podcast a few months ago about notes. And so I’m looking at Apple Notes and as I get older, I’ve decided that I need to admit that I can’t remember everything and I need to start writing stuff down more. And so I’m really starting to play with Apple Notes and these sort of daily capture notes, other things that I do where I’m grabbing things, pulling into notes, and then that will become a staging area for things to go into my second brain in notion. And I’m wanting to try to develop a really good way to capture notes and whether that’s going to be the Apple pencil on an iPad or whether it’s going to be dictation or how I do that, I’m not sure, but I want to just stop relying on my memory all the time. So those are my big three. Your big three. Tom, do you have any small resolutions that you want to add?

Tom Mighell:

Well, I don’t know that this counts as a small resolution, but it’s to fill in the blank where you asked for a small resolution. So to me, this could be potentially big, but my real struggle over the past year when I really didn’t get where I wanted to be on starting newsletter and on starting the blog back up again, part of my challenge was I consume a lot of technology news and there’s a lot of it that I want to share with people that in the past I was just automatically sharing on what was then Twitter, what is now x. I don’t feel like I can do that now because nobody I know is on X for the most part, at least not in such a way that it would gain a lot of traction to be able to share things. But I’m also not sure that going to threads or Blue Sky or Mastodon or of those will generate any other better audience.

And so the question I’ve been asking, we talk on this podcast a lot about the blog being the hub. That’s where you want people to come back to and see your content and see the things that you’re writing. But to get people back there, you need to have spokes on that wheel. And we’ve talked about the various spokes being newsletters and Twitter and Facebook and Instagram and all these other social media tools. I’m not sure what those tools are these days. I’m not sure what gets people back. Is that just purely LinkedIn? Is it the newsletter? Is it a combination? Is this the time to make the experiment that I keep talking about and becoming more TikTok oriented or maybe shorts or other tool, other short form video on Facebook or Instagram? I don’t know the answer to that. So what I plan to do is kind of do some experimenting, understanding what do I want to be my outlets to share information with people? And hopefully that will lead me to more writing and more publishing. That is my ultimate goal. But my small steps are to figure out what are my outlets going to be.

Dennis Kennedy:

As you were talking about this, I was thinking I have this sort of smart goal. I mean it’s ambitious, but it’s 52 blog posts in 52 weeks. So one blog post a week, which I think is a reasonable thing, but I haven’t done it for a long time, but it seems doable. But as you were talking about what is the hub and is it the blog and these other things, do you find something new? I had this a little bit of an epiphany here, Tom. I sort of think that this podcast is kind of our hub and that a lot of the things we do flow out of that and can connect to that. And I think some of our best content comes into the podcast. But my small, something to think about. So my small one is I have two. So the one is that my resolution is I am just going to wear people out, especially lawyers to for god sake, pay the $20 a month for GPT-4.

I’m like, come on, it’s $20 a month. And as I tell people GPT-3 0.5 got 10%, 20% score on theBar exam and GPT-4 passed it, there’s a world of difference there. So think about that. The other thing I’m thinking about is I really like this for this year, this word streamlining, and I want to do some very targeted automations. And this is sort of the notes thing as well. And so part of what I’m doing, and this is also what I am learning through the AI experiments I’m doing, is thinking very small and very focused. And this is where I think GPT-4 can be really useful is I can say, oh, I would love to come up with a way to automate this process and basically I can craft a prompt where it will give me a really solid start on that. So that sort of thinking, small streamlining, very targeted approaches to make things easier. So I dunno. Tom, what do you think our chances are this year? Probably about the same as every year or are we looking a little better this year?

Tom Mighell:

Well, I’m going to say I’m just, I’m going to take my approach to say that I never know where work is going to take me this year. So I am not guaranteeing any of these resolutions. I am hopeful, but I will not be surprised if I don’t get very far on some of these things. You on the other hand seem to be very good about getting to most of your resolution. So I have high hopes on the ones that you’ve listed here.

Dennis Kennedy:

Part of what I do is it’s so much part of my routine now is this notion of the personal quarterly offsite and a lot of these things come out of that. And so then I’m using techniques and they become priorities and I work through them in a different way. So I think my success becomes better because of that focus. So I guess the question we have for our listeners is what about you? What resolutions are you thinking about? We’d always love to hear about them, especially if you had some good ideas for us that you wanted to share. But we think this is a great approach and it’s so much better than people predicting what might be. And then pretending that nobody will remember what they say a year from now.

Tom Mighell:

I think if there are those of you who have resolutions that you think we need to know about or you think everybody needs to know about and we get enough of them, let us know and we’ll talk about ’em on a B segment or find a way to sneak ’em into a future episode of the podcast. It’s not just about our resolutions. Y’all have awesome and amazing ideas out there as well. So please send us your ideas and we will share them on the podcast. Alright, we are done with our resolutions. We’ve got more to talk about before we go to our next segment. Let’s take a quick break for a message from our sponsors. Now let’s get back to the Kennedy mile report. I’m Tom Mile,

Dennis Kennedy:

I’m Dennis Kennedy, and we wanted to remind you to share the podcast with a friend or two that actually helps us out. A new year at the Kennedy mile report means that it’s time once again for us to try out a new approach for our B segment. I’ve convinced Tom to play along at least for a little while with, although his resolutions may help with, with one of my wildest new ideas, we’ve always wanted to answer audience questions in our B segment. We never reached critical mass on that, so I suggested a time we experiment with prompting chat GT four in a sophisticated way to stand in for our audience and then to ask a question that our audience might want us to answer that would make us think and push us a bit. Now even time had to admit that this fits the spirit of our show. So here’s the first question from our chat, GBT persona stand-in for our audience. And it’s this, how can artificial intelligence be used to predict legal outcomes and what are the implications for Litigation strategies? Tom, you are a former litigator, so I’ll let you answer first and let’s see you stretch your imagination. I will.

Tom Mighell:

Well, so I first have to say that for chat GPT, this seems like a pretty stock question. I mean, it’s a good question to ask, but I feel like I am expecting more from chat GPT next time. So I need a question that’s going to make me kind of wow what it does. Anyway, that said, there are already artificial intelligence tools that are doing this, right? I mean, there are tools that look at existing data about judges and make some predictions. There’s a tool called Predicta that claims it can predict motions to dismiss decisions with 85% accuracy. There’s also, it has modeling for motions to compel and summary judgments and motion to transfer class action certifications. And what’s interesting is it doesn’t use the law or the facts to make the predictions because judges don’t generally write a lot of opinions about cases. I mean, there’s a lot of jury trials out there.

It’s generally measuring things about judges based on where they went to law school, what their net worth is, how they rule when lawyers are from big firms or small firms, the judge’s employment history. Other tools that do this and do data analytics are things like Lex Machina and a tool called Solomonic also does this. And I think that data analytics to predict case outcomes and guide Litigation strategy has been going on for a while. And if you look in the internet, there are articles about artificial intelligence and legal outcomes going back 20 years. To me, I’m wondering whether chat GPT really meant to ask the question, how can generative AI be used to predict legal outcomes? And what are the implications for Litigation strategy from generative ai? And I think this is where it gets more interesting because I think that generative AI is going to be able to look at this from a somewhat different perspective than just general predictive data analytics.

Predictive data analytics can take a set of discreet data and make some statistical predictions about it. But with generative ai, just thinking about it, you can load an entire transcript of a case including the pleadings, the discovery, the testimony, all relative documents, relevant documents into a database and point an LLM at it. And in the past, trying to get predictions on jury trial outcomes I think is too risky because the jury system is so subjective and the reason for case decisions and verdicts is subjective. Juries don’t always, or maybe I should say very rarely make rational subjective decisions. There are tons of factors that are weighing into that. But with generative ai, can you program the tool to take this into account? Can you ask it to account for human nature? Can you ask the AI to simulate different scenarios and then come up with possible outcomes and say, okay, here’s what we’ve seen before.

Here’s how it worked out in this case. What are other scenarios and what would be other strategies that we might want to employ to come up with different outcomes? Generative AI may come up with a novel approach or a unique angle that the Litigation team didn’t think about. They may think about a way to address particular issues in the case. And I think that the real value of generative AI in the Litigation process is that it’s effectively adding another, I’ll put quotes around this law partner, someone against whom you can test theories and approaches and arguments. Now, I say this all with the obvious artificial intelligence caveats that generative AI cannot practice law can make mistakes, you should take all that you get from it with the appropriate caution. But that said, I really can’t wait to see what types of Litigation strategy tools start to look like with generative AI in the mix because I think that you have something that’s really significantly different from the artificial intelligence tools that we’ve been used to for the past couple of decades. Dennis, yeah, I

Dennis Kennedy:

Think you make a great point that about artificial intelligences, which is a point I make with my students and we’ll be making this year. So I like this question because everything I hear these days in the Litigation areas, legal research, legal research, find all the cases, shepherd eyes, ’em write the brief, all this sort of stuff. I’m like, no, what I’m interested is can I use the generative AI to find the most persuasive arguments? Can I make my argument even more persuasive? Can I find a strategy? Can I find the best arguments against my opponents most likely strategies? And that’s where generative ai, if you do a great job of prompting it can really come up with some cool things. And also the novel theories as you’re saying Tom, I wouldn’t say it necessarily brings another law partner in it, but it certainly brings some new creative perspectives into the mix and can give you some ideas.

I think I’ve been doing some stuff where, and this is not in Litigation, but in other areas to say, give a range of what this case might settle for, those kinds of things. Give me a range of how much income this business might produce this year. Those kinds of things I think could become really interesting. And so it does give you that group of people. Just the generative AI becomes somebody that you can bounce ideas with and interrogate and it’s tireless. We’ll just keep coming up with new ideas for you and you can revise it and change it. So I’m really intrigued by how it could be used. And I also think it could start to look to say in these other cases in this area, here were the strategies that seemed to really work well. And you can modify what you’re doing based on that. So now it’s time for our parting shots, that one tip website or observation you can use the second this podcast ends time, take it away.

Tom Mighell:

Well, I wasn’t originally going to talk about this, but I saw this yesterday as a YouTube video and I just had to mention it. I follow Marquez Brownley who is a tech journalist and he has a YouTube channel and every year he does a competition or a challenge for the best smartphone camera apps and which smartphones take the best pictures and he will take a series of pictures and then he and his team as well as the general public, he offers them up and asked people to vote on what are the best images. And he posted his results. I’ve got a link in the show notes, but I only raise it this year to find that. Finally, my kind has reached some level of justification because they test in a number of different types of photo places, nighttime photos, selfies, regular photos, landscape, all different kinds of photos that they’re taking.

And then they have a winner for each one of those categories. But at the very end, they average all the scores to present kind of the overall winners. And for the first time, probably ever in the course of his competition, Google Pixel phones were the top three cameras of all of them. The Google Pixel eight Pro, my phone got number one, the pixel, I think seven A got number two and the pixel fold, believe it or not, a foldable got number three. So I raised this to say that pixel phones are the real deal when it comes to cameras. If you’re looking for a good camera, you cannot go wrong with a pixel phone as well as the fact that it’s a great phone to begin with. Alright, now my real parting shot I spent a lot of time on that is my latest gadget that I am enjoying a lot.

I’ve been looking for a power bank to take with me when I travel because I was traveling on a plane a couple of weeks ago before the holidays, and my laptop just died completely on the plane. And the plug, the power outlets at the plane on my seat did not work. Neither mine nor the person next to me. Power outlets totally didn’t work. I needed a power bank and the one that I had only worked with my iPad and my phone. So I found online I found an Amazon. I basically think you can never go wrong with any tool from Anchor A-N-K-E-R. Everything I’ve ever gotten from them has been great. And I bought the Anchor Power Bank from Amazon and it has three different plugs in it. There are two USBC plugs, so you really need a computer that you can plug USBC into to do that.

And it’s got A-U-S-B-C-A plug as well. But you can charge your phone four or five times. You can charge an iPad two or three times. You can charge a laptop once or twice with this power bank. And it is a beast. It has a 24,000 milliamp batteries, but it is a great tool. It is about, I believe, on Amazon somewhere around 90 bucks. So not too expensive, not too cheap. It’s a good price for what you get. I highly recommend it. I’ve been already getting good use of it and I haven’t even traveled since I got it. Dennis,

Dennis Kennedy:

That reminds me of that airline commercial where I thought you were going to say that they came around and said, for $75, we’ll turn the power outlet on

Tom Mighell:

For, we’ll turn the power on for you.

Dennis Kennedy:

So this is the start of the new semester. And so I like to talk to students about psychological safety. And I had somebody who’s an expert in psychological safety recommend this really short two to three minute video by Simon Sinek. And it’s called The Truth About Being the Stupidest in the Room. And it’s on YouTube. And it’s just a great lesson for, and I think this really comes up in the whole AI conversation. The people are going to be throwing a bunch of acronyms, they’re going to be talking about stuff, and there’s a point where you just need to say, wait a second, I don’t understand what you’re talking about because probably most of the other people in the room don’t either. And so if you can be the one who stands up for the group and ask that question, that can be really, really helpful.

And I found that it’s a really good thing to use with students. And then I was at a conference recently and I had this issue where I was doing with Apple Notes and I was using the Apple pencil too, and I wanted to do handwriting recognition and I wasn’t able to get it to do it. And this is where generative AI is even better, I think, than Google or the search engines. I just ask it how to make sure I could turn on the handwriting recognition. And so the parting shot is just take a couple of minutes and fix the small tech annoyance that drives craziest because it probably is only going to take a couple minutes and you’re going to be so happy afterwards.

Tom Mighell:

And so that wraps it up for this edition of the Kennedy Mall report. Thanks for joining us on the podcast. You can find show notes for this episode on the Legal Talk Networks page for our show. If you like what you hear, please subscribe to our podcast in iTunes on the Legal Talk Network site where you can find archives of all of our previous podcasts along with transcripts or in your favorite podcast app. If you’d like to get in touch with us, reach out to us on LinkedIn. You can always leave us a voicemail, although we have our new B segment guest of chat, GPT, we always love to hear from real live human beings. So please leave us a voicemail. That number is 4 4 1 6 8 2 0. So until the next podcast, I’m Tom Mighell

Dennis Kennedy:

And I’m Dennis Kennedy and you’ve been listening to the Kennedy Mighell Report, a podcast on legal technology with an internet focus. If you like what you heard today, please rate us in Apple Podcasts. And as always, a big thank you to the Legal Talk Network team for producing and distributing this podcast. We’ll see you next time for another episode of the Kennedy Mile report on the Legal Talk Network.

Speaker 1:

Thanks for loosening to the Kennedy Mighell Report. Check out Dennis and Tom’s book, the Lawyer’s Guide to Collaboration Tools and Technologies, smart Ways to Work Together from ABA Books or Amazon. And join us every other week for another edition of the Kennedy Mighell Report, only on the Legal Talk Network.

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